Developing a Python-Based Speech Recognition System

This project focuses on an Automatic Speech Recognition System developed as part of the EG2303 Signals and Systems module. It uses Python for recognising spoken digits with features like FFT for signal processing, noise filtering, and template matching. The system achieves high accuracy in controlled environments, leveraging training and recognition modes. While strengths include frequency domain analysis and validation strategies, limitations such as noise sensitivity and speaker dependency...